Artificial intelligence is a rapidly developing emerging discipline and has become the core technology of many high-tech products. Artificial intelligence simulates human intelligence to solve problems and has very wide applications in almost all fields.
This course is an entry-level artificial intelligence course, suitable for beginners, and can help them learn artificial intelligence from scratch. This course adopts the professional textbook "Introduction to Artificial Intelligence" (4th Edition) compiled by Professor Wang Wanliang of Zhejiang University of Technology. It closely focuses on the basic ideas, basic theories, basic methods and applications of artificial intelligence, and integrates some cutting-edge aspects of artificial intelligence. content. This course has 12 lectures in total, including: overview of artificial intelligence, first-order predicate logic representation, production representation and frame representation, reasoning methods based on predicate logic, credibility methods and evidence theory, fuzzy reasoning methods, search and solution strategies , Genetic Algorithm and its Application, Ant Colony Algorithm and its Application, Expert System and Machine Learning, BP Neural Network and its Application and Hopfield Neural Network and its Application.
1. DC superposition characteristics of chip ferrite beads
Chip ferrite beads are an inductor that uses ferrite. Therefore, when a large current passes through, special attention needs to be paid to pe
"Introduction to Electromagnetic Compatibility" comprehensively and systematically describes the basic principles and design methods of electromagnetic compatibility. The book is divided into two part
[i=s]This post was last edited by hazhuzhu on 2021-12-29 00:13[/i]Preface
The following is a detailed process record of learning OpenHarmony3.0 Raspberry Pi 4B porting, with main references: Official